Agentic AI-Business Consultant – Principal - Enterprise
About the job
- At least 8 years of practical experience in strategy consulting or corporate/business transformation, from concept development through execution.
- Deep domain knowledge and business understanding in at least one relevant industry, such as manufacturing (including automotive, electrical, machinery, or chemicals/materials) or energy and infrastructure (including electricity, gas, oil, or renewable energy); expertise in another specialized domain is also welcomed.
- Experience engaging with CxOs or business leaders and building trusted relationships, including structuring management challenges and translating them into transformation themes.
- Business acumen, including understanding of return-on-investment design, business case development, and deal progression.
- Ability to organize complex issues and communicate them clearly to executive audiences through storytelling.
- Ability to proactively create value in uncertain environments and drive transformation with a growth mindset.
- Lead or proactively drive the definition of AI-enabled business transformation themes by structuring customers’ management and industry challenges.
- Develop next-generation business models, including agentic ERP and CRM, using Dynamics 365, Copilot, and AI agents.
- Drive the redesign of business processes, decision-making, and operating models within projects.
- Engage with CxOs and business leaders to clarify transformation visions and build agreement.
- Lead or proactively drive proposals centered on AI and business applications.
- Design return on investment and build business cases to support customer investment decisions.
- Organize complex transformation themes into compelling narratives and prepare proposal materials for executives.
- Collaborate with sales and technical teams to build competitive solutions.
- Create and propose strategic deals, and lead or support activities toward closing.
- Contribute to revenue and pipeline growth in the assigned area.
- Drive the development and execution of deal strategies for large-scale engagements with the team.
- Participate in identifying and designing agentic AI use cases based on industry challenges.
- Develop AI use cases in ERP and CRM domains, including supply chain, manufacturing, sales, and service.
- Design use cases for business automation and improved decision-making using Copilot and AI agents.
- Contribute to creating customer case studies and sharing them internally and externally.
- Collaborate with sales, technical sales, customer success, global teams, and partners to maximize customer value.
- Proactively drive workstreams in the assigned area.
- Understand global best practices and promote their application to projects.
- Contribute to accumulating and sharing use cases and knowledge in AI and business applications.
- Participate in communicating value through proposals and deal activities and in creating related content.
- Contribute to expanding understanding of the domain through internal and external knowledge sharing.
- Continuously build skills in agents, Copilot, Dynamics 365, and data utilization.
- Proactively form hypotheses and pursue value creation in uncertain areas.
- Adapt flexibly to and take on new technologies and business models.
- MBA or equivalent postgraduate education.
- Practical experience at a strategy consulting firm, providing consulting services for business strategy or corporate transformation, or leading business transformation projects for large enterprises; end-to-end experience from concept development through execution support is welcomed.
- Understanding of AI, automation, and data utilization, particularly how to apply them to business transformation.
- Experience driving large-scale business transformation, such as business process reengineering or operating model reform.
- Business experience in technology areas such as software as a service or cloud.
- Experience contributing to revenue responsibility or deal creation.
- Business-level English is welcomed but not required; willingness to develop is valued.
About the company
Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.
Company Size
10,001+
Company Stage
IPO
Headquarters
Redmond, Washington
Founded
1975
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Simplify's Take
What believers are saying
- US corporate staff receive education support: eligible, approved graduate coursework qualifies for up to $10,000 annually.
- Cloud demand expands: July 2026 results showed Azure and other cloud services revenue grew 43% year-over-year in fiscal Q4.
- Investment has an earnings cushion: July 2026 results reported $155.2 billion consolidated operating profit for fiscal 2026.
What critics are saying
- Performance reviews include security: every Microsoft employee must discuss their security contribution with their manager.
- Office flexibility depends on the role: Microsoft's postings specify requirements ranging from fully remote to fully on-site.
- Cloud capacity faces local limits: Microsoft describes power-grid delays and water constraints affecting US datacenter expansion.
What makes Microsoft unique
- Hybrid customers stay within reach: Azure Arc manages servers across customer datacenters and competing clouds.
- Developer reach extends beyond Azure: Microsoft's GitHub hosts code collaboration alongside AI coding tools.
- Professional data widens its business: Microsoft owns LinkedIn's recruiting, advertising and workplace-learning network.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
Professional Development Budget
Conference Attendance Budget
Flexible Work Hours
Remote Work Options
Growth & Insights and Company News
6 month growth
0%1 year growth
0%2 year growth
0%Investor Michael Burry, known for calling the 2008 housing crash, has warned that Microsoft and other big tech firms carry roughly $3 trillion in off-balance-sheet AI data-center liabilities. He said the companies are spending heavily because they assume they will get an oligopoly "too big to fail." Microsoft's capital spending in the June quarter was $41 billion, up 70% from a year ago. Its commercial remaining performance obligations, or contracted revenue not yet recognised, exceed $678 billion. Fourth-quarter revenue rose 18% to $90 billion, and net income rose 31% to $35.8 billion. Azure passed $100 billion in annual revenue. Shares are up 41% in three months. Analysts' consensus rating is "Strong Buy," with an average price target of $577.98.
Arena Physica has made Heaviside, its foundation model for electromagnetism, available on Microsoft Discovery, Microsoft's platform for agentic engineering. The company announced the move on October 13, 2026. Heaviside-1 has 350 million parameters and was trained on 250,000 3D field simulations. It predicts a design's full 3D electromagnetic field response in milliseconds, roughly 100,000 times faster than a traditional solver, and within a decibel of commercial accuracy. Traditional solvers can take hours or days per run, which makes design verification the main bottleneck. On Discovery, an agent can switch between Heaviside's predictions and a full-fidelity solver for final validation. Arena Physica expects strong uptake in semiconductors, including BGA packaging and SerDes interconnects. Discovery also offers audit logging and access controls to protect sensitive designs.
Venture capitalist Chamath Palihapitiya said power and physical infrastructure could be the lasting constraints in the AI race. He posted on X on Monday, after Microsoft announced its own silicon chips. Palihapitiya wrote that chipmakers will move up the stack while application companies move down it, so "everyone competes with everyone." He asked whether distribution, a data moat, or a physical limit such as power would support long-term margins. Elon Musk replied that scaling power, fast construction, cooling, networking, and batteries "is hard." Microsoft chief executive officer Satya Nadella said the company will scale its Maia chips to multi-gigawatt deployments starting next year. He said the Maia 300 delivers 40% more tokens per watt than leading GPU-based systems.
Peter Lee, who recently announced his departure as president of Microsoft Science, plans to join the Mercedes Formula 1 team as an AI advisor, he told Fortune. The role is newly created, and his title is still under discussion. Lee spent 16 years at Microsoft. At Mercedes, he will use AI to tackle car physics problems, break down data silos, build financial and predictive models, and advise on how regulators might govern AI in the sport. He is expected to sign a one-year contract with an option for a second. "I have always wanted to be a racer," Lee said. His exit follows other Microsoft departures this year, including Ryan Roslansky and Frank X. Shaw.
Microsoft has unveiled its latest homegrown Maia chips, part of an effort to rely less on outside semiconductor makers for its AI ambitions, Bloomberg reports. Elon Musk, meanwhile, wants to speed up chip development by testing as many as 10 new designs a year. Apple is also set to unveil its new smart home strategy, which seeks to fill a major gap in its ecosystem.